Solving the uncalibrated photometric stereo problem using total variation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state-of-the-art algorithms.
Original languageEnglish
Title of host publicationScale Space and Variational Methods in Computer Vision : 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
EditorsArjan Kuijper, Kristian Bredies, Thomas Pock, Horst Bischof
Number of pages12
PublisherSpringer
Publication date2013
Pages270-281
ISBN (Print)978-3-642-38266-6
ISBN (Electronic)978-3-642-38267-3
DOIs
Publication statusPublished - 2013
Event4th International Conference on Scale Space and Variational Methods in Computer Vision - Leibnitz, Austria
Duration: 2 Jun 20136 Jun 2013
Conference number: 4

Conference

Conference4th International Conference on Scale Space and Variational Methods in Computer Vision
Nummer4
LandAustria
ByLeibnitz
Periode02/06/201306/06/2013
SeriesLecture notes in computer science
Volume7893
ISSN0302-9743

ID: 45826381